Martin L. Gunn

Determining Adherence to Follow-up Imaging Recommendations

2018 · 64 Zit. · Journal of the American College of Radiology

Determining Follow-Up Imaging Study Using Radiology Reports

2019 · 27 Zit. · Journal of Digital Imaging

Automatic Assignment of Radiology Examination Protocols Using Pre-trained Language Models with Knowledge Distillation.

2021 · 8 Zit. · PubMed Central

Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine

2023 · 8 Zit. · Journal of the American Medical Informatics Association

Annotation of Clinically Important Follow-up Recommendations in Radiology Reports

2015 · 3 Zit.

Automatic Assignment of Radiology Examination Protocols Using Pre-trained Language Models with Knowledge Distillation

2020 · 0 Zit. · arXiv (Cornell University)

Automated Identification of Incidentalomas Requiring Follow-Up: A Multi-Anatomy Evaluation of LLM-Based and Supervised Approaches

2025 · 0 Zit. · ArXiv.org

RADAR: A Multimodal Benchmark for 3D Image-Based Radiology Report Review

2026 · 0 Zit. · ArXiv.org

The RANZCR Artificial Intelligence Committee: Position statement on autonomous AI

2024 · 0 Zit. · Journal of Medical Imaging and Radiation Oncology

Identifying Imaging Follow-Up in Radiology Reports: A Comparative Analysis of Traditional ML and LLM Approaches

2025 · 0 Zit. · ArXiv.org

RADAR: A Multimodal Benchmark for 3D Image-Based Radiology Report Review

2026 · 0 Zit. · Open MIND